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Current drought classification methods ignore modeling uncertainties and provide discrete drought classification.
The tracking of desired motion trajectories is performed in the presence of nonlinearities, modeling uncertainties, and external disturbances.
The method alleviates the problem of choosing a suitable distribution for fitting data in SPI analysis, quantifies modeling uncertainties, and propagates them for probabilistic drought classification.
To compensate for friction effects, a filtered-VSC is studied to increase robustness and compensate for modeling uncertainties and external disturbances.
We also investigate the interaction of modeling uncertainties and numerical integration error in the solution of the ordinary differential equations for the flight dynamics.
An adaptive robust control algorithm for ship straight path control system in the presence of both modeling uncertainties and the bounded disturbances is proposed.
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We focus on a practically implementable design with robustness to model uncertainties and disturbances.
This may add to model uncertainties and parameter uncertainties in analytical results; however, sensitivity analyses demonstrate the robustness of study results.
He has published two books and over 100 papers, principally on statistical and probabilistic water quality modeling, uncertainty and decision/risk analysis, and pollutant loading assessment.
Modeling uncertainty and low probability states in protein structure prediction also benefits from MCMC and related approaches [ 3].
Indeed, it is necessary to account for natural variability, model uncertainties, and other factors that can obscure the picture.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com